Flint
A divergence model designed to generate diverse, creative outputs instead of converging on predictable answers
Context window
Not announced
Input / 1M tokens
Not announced
Output / 1M tokens
Not announced
Provider
Springboards
Data verified 2026-07-04
Flint is a lightweight, fine-tuned model built on an open-source foundation (Qwen 3) designed specifically for creative divergence rather than accuracy. It targets creative tasks like brainstorming and ideation by deliberately increasing output variation at critical decision points in text generation, enabling marketers and creatives to explore a wider range of ideas without degrading general performance.
Capability index
Relative estimates (0-100) to place this model against its peers, grounded in published benchmarks.
How to access it
Available via the Springboards platform (springboards.ai). Offers free tier and paid tiers starting at $30/month for access to Flint and the platform's creative tools.
Strengths
- ✓Significantly higher creative diversity (7/10 on Novelty Bench vs. 2.88 average)
- ✓Lower intra-model similarity (0.721 vs 0.864-0.905 for competitors)
- ✓Lightweight and fast iteration
- ✓Maintains base model capabilities
Best for developers who...
When to choose it (and when not to)
Reach for Flint when...
- →When exploring diverse creative directions
- →For early-stage ideation and concept generation
- →When variety and novelty are more important than accuracy
Look elsewhere if...
- ✕Tasks requiring high accuracy (coding, research, factual queries)
- ✕Domain-specific professional work (legal, accounting)
- ✕When convergence on a single correct answer is needed
How to use it
- ›Use for open-ended creative prompts to get maximum divergence
- ›Leverage for ideation phases before refinement with other models
- ›Combine with mainstream models for comprehensive creative workflows
Quickstart
WebVisit springboards.ai/models/flint-alpha, sign up (free or paid tier), and access Flint through the platform interface for creative tasks.Flint is accessed exclusively through the Springboards platform, not via API
API model id: flint
Benchmarks
| Benchmark | Score | Notes |
|---|---|---|
| Novelty Bench | 7/10 | Measures creative diversity; Flint generates 7 functionally distinct responses per 10 prompts vs. average of 2.88 for leading LLMs |
| Intra-Model Similarity | 0.721 | Mean similarity across 50 responses to same prompt (lower is better); competitors score 0.864-0.905 |
| NoveltyBench | 7.47 | Mean distinct responses out of 10 |